Data Scientist, Quality Medicine | Data Scientist

Job Summary

This role involves leading advanced analytics initiatives within the Quality Medicine function, focusing on applying sophisticated data science techniques to enhance quality risk management and medicinal product lifecycle activities. The Data Scientist will act as a project owner, utilizing machine learning (ML), causal inference, artificial intelligence (AI), and natural language processing (NLP) to identify patterns, generate hypotheses, and support strategic decision-making across global programs, including Early Clinical Development and Medical Devices. Key requirements include an advanced degree (Master's or PhD) in a quantitative field, a proven track record in executing full-cycle data science projects, and strong proficiency in programming languages like R or Python. The position demands excellent cross-functional communication skills to translate complex data into actionable insights for multidisciplinary teams in a regulated, innovation-driven environment.